เงื่อนไขการค้นหา

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Power BI, SQL, Analytical Thinking

ประเภทงาน:

งานประจำ

• Integrity: Be honest and ethical | Do what is right.
• Excellence: Hold ourselves to high standards | Be thoughtful, thorough, and disciplined.
• Care: Be respectful and inclusive | Look after each other | Contribute to the well-being of our communities and the environment.
• Courage: Take initiative and make a difference | Think boldly and act with conviction | Take personal ownership.
• Resilience: Be determined and persevere | Be purposeful and steadfast in our principles.
• Develop data products by implementing robust data models and transforming raw data into trusted, reusable datasets using DBT and Snowflake.
• Design and implement scalable logical and physical data models following enterprise standards.
• Monitor and optimize data deployment and production workflows to ensure data quality, integrity, consistency, and reliable performance across multiple sources.
• Support data visualization dashboards using Power BI, ensuring accuracy for stakeholders.
• Analyze business data requirements and translate them into technical specifications and solutions.
• Maintain clear documentation for data pipelines, processes, and workflows.
• Skills and Qualifications.
• Bachelor s degree or higher in Computer Engineering, Computer Science, IT, or related fields.
• 0-5 years of experience as a Data Engineer or related roles.
• Strong SQL skills and experience with data modeling (e.g., star schema).
• Hands-on experience or familiarity with Snowflake, DBT, Azure, ADF, and GitHub workflows.
• Strong analytical thinking, problem solving ability, quick learning capability, and a growth mindset.
• Excellent written and verbal communication skills and ability to work collaboratively in team environments.
• Fluent in English (TOEIC 750+, TOEFL iBT 98+, or IELTS 6.5+).
• Snowflake certifications (SnowPro Core, SnowPro Advanced - Data Engineer).
• DBT certifications (Analytics Engineering, DBT Architect).
• Azure certifications (AZ 900, DP 900).
• Experience with data warehouse technologies (e.g., Snowflake, HANA).
• Experience with programming languages for data manipulation (e.g., Python).
• Experience with version control and CI/CD (e.g., Git, GitHub, GitHub Workflows).
• Experience with cloud platforms (AWS, Azure, Google Cloud).
• Experience or knowledge of Agile methodologies.
• Experience with Qlik Replicate, NiFi, Fivetran).
• Experience with programming skills in languages such as Python, or Java.
• English language (TOEIC, TOEFL, IELTS) - Score with over 2 years is valid to upload.
• Education Transcript, Certificates - both Bachelor s and Master s Degree (if any).
• Military Documents ( สด.8 หรือ สด. 43 ) - for male only.
• Your benefits.
• An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.
• Competitive benefits and compensation.
• Premium medical health plan & life insurance Full coverage OPD (for actual reasonable amount necessary for treatment).
• Limit out-of- pocket for IPD.
• Dental fee coverage.
• Annual medical check-up.
• Provident fund contribution rate 5% to 15% of salary.
• Contribution 5% of salary to employee savings plan.
• Housing loan subsidy.
• Workplace flexibility.
• 10 to 20 days annual vacation.
• 5 days personal business leave Special occasion leaves e.g. Birthday, Wedding or Graduation.
• Skills training & development program.
• Tuition assistance.
• Eligibility and details may vary according to work location, service year and conditions in each program/plan.
• Please note benefits may be changed from time to time without notice, subject to the direction and discretion of the Company and/or applicable law.
• Application Process.
• Please be informed that only shortlisted candidates will be notified, and you can find out more about our hiring process here.
• For more information about business solicitation and recruiting scams, please click here.
• We thank you for your interest in ExxonMobil. .
• Stay connected with us.
• Learn more at our website.
• Follow us onLinkedIn and X.
• Like us on Facebook.
• Subscribe our channel at YouTube.
• Equal Opportunity Employer.
• ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.
• Corporate Separateness Statement.
• Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
• Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.
• Functional Skills.
• Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
• Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Product Development, Publishing, Statistics

ประเภทงาน:

งานประจำ

• Department: Marketing.
• Company: บริษัท จีเอ็มเอ็ม มิวสิค จำกัด (มหาชน).
• Analyze data from various channels to develop business strategies, such as increasing sales, recommending suitable marketing campaigns, or providing insights for product development.
• Identify correlations across diverse data sources to perform a thorough analysis.
• Prepare data for analysis by designing data ingestion processes, creating data warehouses, defining related data dimensions, and ensuring data readiness. Additionally, determine methods for data publishing across different channels to maximize utility.
• Perform data visualization and reporting to communicate insights effectively..
• Bachelor s degree in Statistics, Finance, Economics, Computer Science, or a related field.
• At least 3 years of experience in data management and development.
• Advanced skills in Excel or Google Sheets.
• Previous experience with Power BI, Google Data Studio, or dashboards.
• Basic familiarity with tools such as Fanpage Karma or Supermetrics.
• Ability to manage and integrate data from multiple sources.
• Strong attention to detail, high responsibility, and at least 1 year of experience in the data field..
• ประสบการณ์ 1 ปีขึ้นไป.
• จำนวน 1 อัตรา.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Statistics, SQL, Analytical Thinking

ประเภทงาน:

งานประจำ

• Design, develop, and maintain BI dashboards using Looker Cloud Core (Google Cloud).
• Build and maintain LookML models, including Views, Explores, and Data Layers.
• Gather business requirements and translate them into well-structured data models and dashboards.
• Analyze business data, develop insights, and provide data-driven recommendations. Sensitivity Label: General.
• Collaborate with Data Engineers to ensure efficient data pipelines and optimized datasets for Looker.
• Conduct data validation, quality checks, and troubleshoot LookML or dashboard issues.
• Support Looker users including onboarding, permissions, and user adoption.
• Maintain documentation such as Data Dictionaries, Metric Definitions, and Dashboard Guidelines.
• Build KPI frameworks and ensure consistent usage of metrics across teams.
• Requirements:Bachelor's degree in data science, Computer Science, Statistics, MIS, Engineering, or related fields.
• 2-3 years of experience in Data Analysis, Business Analysis, or BI-related roles.
• Direct experience working in enterprise-level environments.
• Strong proficiency in Looker and LookML (mandatory).
• Strong SQL skills (complex joins, window functions, CTEs).
• Familiarity with Google Cloud Platform (especially BigQuery).
• Understanding of data modeling concepts such as Star Schema and Snowflake Schema.
• Strong analytical thinking and ability to translate business requirements into technical solutions. - Experience in designing dashboards that communicate insights clearly and effectively.
• About NTT DATA
• NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in RD.
• Equal Opportunity Employer
• NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
• Third parties fraudulently posing as NTT DATA recruiters
• NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an nttdata.com email address. If you suspect any fraudulent activity, please contact us.

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

English

ประเภทงาน:

งานประจำ

• Associate's degree, trade school certification, or other certified training in a related technical field, or equivalent practical experience.
• 7 years of Electrical experience (e.g., electrical testing equipment or electrical distribution) in an industrial or commercial environment.
• Ability to participate in material handling tasks such as lifting, carrying or moving upto 50 lbs (23 kg) of equipment, the required use of safety equipment such as limited weight bearing work platforms, ladders, step stools and personal protective equ ...
• Ability to work non-standard hours and differing work rotations/shifts.
• 8 years of experience in the facilities field including operating and maintaining mission critical facilities (e.g, data centers, hospitals, pharma, semiconductor, refineries, power plants, etc).
• Experience as Competent Electrical Engineer or Professional Engineer or Professional Engineer with Practicing Cert or Registered Electrical Energy Manager.
• Experience performing maintenance on electrical or controls systems and independently resolving common system failures.
• Knowledge of safety rules and regulations associated with operating complex infrastructure.
• Ability to communicate in English and Thai in order to communicate with contractors who perform maintenance or upgrade work on the data center systems.
• The Data Center team designs and operates some of the most sophisticated electrical engineering, mechanical engineering and HVAC systems in the world. Facilities Technicians at Google data centers operate, monitor and support physical facilities conditions. Some of these duties will include heating and cooling of air and water, power supply, generators, UPS systems, electrical distribution and control and monitoring systems. You regularly help inspect, maintain and repair various data center systems such as piping and non-critical electrical or mechanical system components).
• As an advocate for best practices, you develop creative approaches to reducing operational costs while improving overall data center efficiency. You ensure that environmental and safety standards are consistently met, identifying problems and making repairs quickly. In emergency situations or abnormal conditions, you manage data center performance issues and outages to minimize the recovery time from failures.
• As a Facilities Technician, you will operate, monitor, and support physical facilities conditions for our data centers.
• The AI and Infrastructure team is redefining what s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
• We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
• Inspect, maintain, and repair various data center systems.
• Provide daily assistance to technicians as you read blueprints/schematics/sequence of operations, conduct tours of systems, and assess their working order.
• Manage the uptime and maintenance of UPS, generators, electrical distribution, and control and monitoring systems.
• Operate, monitor, maintain, and respond to abnormal conditions in the data center facilities systems and equipment.
• Support startup, commissioning, and integration of new electrical equipment and systems into facilities infrastructure.
• Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

ประเภทงาน:

ฝึกงาน

Additional InformationNot available. Intern Specific text Interns are not financially remunerated by the United Nations. Costs and arrangements for travel, visas, accommodation and living expenses are the responsibility of interns or their sponsoring institutions. Interns who are not citizens or permanent residents of the country where the internship is undertaken, may be required to obtain the appropriate visa and work/employment authorization. Successful candidates should discuss their specific visa requirements before accepting the internship offer. No Fee THE UNITED NATIONS DOE ...

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Compliance, Microsoft Office, Excel, English

ประเภทงาน:

งานประจำ

• Improve the customer database quality and animate the retail teams to share best practices in customer data capture and data security.
• Ensure regular monitoring of the customer database by developing dedicated analyses and reports.
• Improve the customer data quality through the in-house data quality management tool by deduplicating customers and fix means of contact in error.
• Develop assets to train sales team on customer data management.
• Manage and ensure the compliance of customer database and its security.
• Be responsible for customer knowledge for the subsidiary by sharing retail, omnichannel, and customer-oriented insights.
• Analyze customer behaviors and retail performance, and share the analysis with all retail stakeholders to support strategic decisions.
• Anticipate local trends and customer structure evolution thanks to in-depth customer analyses.
• Accompany the customer targeting initiative with CRM analyses.
• Ensure the data quality and relevancy of the clienteling activities.
• Centralize and harmonize all customer performance related reports of the subsidiary.
• Identify the local Customer Performance KPIs to be monitored.
• Develop and maintain new local reports to follow customer KPIs by store on a regular basis.
• Define the customer performance dashboard and report strategy to streamline the existing report package.
• Act as an ambassador of customer excellence, championing the adoption and impact of customer management tools.
• Collaborate and have regular meetings with retail teams to understand customer insights and seek room for improvement on customer data usage.
• Support the wider team with driving initiatives to develop relationships and create special moments for customers.
• Contribute to the organization of customer events, including invitations, outreach, RSVPs, and logistics.
• Lead and deploy the group projects in subsidiary according to local market specificities.
• Accompany and implement group analytics initiatives, such as customer segmentations, and animate them across the subsidiary.
• Work in close collaboration with CX, OPS, Retail Compliance, and IT teams to deploy projects related to customer relations and data.
• University graduates in related disciplines with at least 3 - 5 years of experiences in CRM or customer data management, preferably in retail or hospitality business environment.
• Proficiency in Microsoft Office suite (Advanced Excel is a must).
• Good knowledge in BI tools (Power BI and/or Cognos IBM) is a plus.
• Ability to analyze and synthesize.
• Customer and business oriented.
• Organized, precise, adaptable, with a balance of strategy and execution.
• Discretion and confidentiality as priority.
• Demonstrated strong interpersonal skills with a team player attitude.
• Ability to work independently and to adapt to a fast-paced, changing environment.
• Fluent in English with excellent oral and written communication skills.

ประเภทงาน:

งานประจำ

• Lead and manage medium-complexity projects within business units, ensuring successful delivery from initiation through financial close-out.
• Develop comprehensive work plans, schedules, and resource estimates while conducting thorough risk analysis and monitoring.
• Provide technical and analytical guidance to project teams while maintaining quality standards.
• Coordinate with stakeholders to analyze and document requirements, ensuring alignment with organizational goals.
• Monitor project progress, control budgets, and manage vendor deliverables when applicable.
• Proven track record in technical project management with demonstrated expertise in planning and execution.
• Strong technical knowledge combined with excellent analytical and problem-solving capabilities.
• Experience in developing detailed project documentation and maintaining quality standards.
• Ability to effectively communicate with diverse stakeholders and lead cross-functional teams.
• Proficiency in risk management and budget control within technical projects.
• Opportunity to lead significant technical projects that drive business impact.
• Professional growth through exposure to diverse technical challenges.
• Autonomous environment that values your expertise and decision-making.
• Collaborative culture that promotes knowledge sharing and innovation.
• Career advancement opportunities in technical project management.
• Let us learn about you! Apply today.
• Looking to make an IMPACT with your career?.
• When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - starts with us.
• IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.
• We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.
• Become an IMPACT Maker with Schneider Electric - apply today!.
• 40 billion global revenue
• 9% organic growth
• 150 000+ employees in 100+ countries.
• You must submit an online application to be considered for any position with us. This position will be posted until filled.
• Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and inclusion is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here
• Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.

ทักษะ:

Compliance, Python, node.js

ประเภทงาน:

งานประจำ

• Design, develop, and integrate AI/ML models into scalable production applications.
• Build and maintain applications, APIs, and pipelines that support AI models.
• Write clean, maintainable, AI-first code and participate in code & model reviews.
• Optimize AI solutions for latency, reliability, scalability, and performance.
• Ensure production AI systems meet quality, availability, and compliance standards.
• Stay updated on AI/ML frameworks and best practices, suggesting improvements to systems and processes.
• Qualifications Bachelor's or Master's degree in Computer Science, AI, Software Engineering, or related field.
• Strong programming skills in Python, Node.js, or similar languages.
• Experience building AI applications, APIs, and integrating AI/ML models into scalable systems.
• Experience with AI/ML frameworks, LLM frameworks, and model serving tools.
• Understanding of system performance optimization, scalability, and reliability.
• Contact: Wirakarn (Mudmee) Email: [email protected]

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Excel, SAP, Negotiation, English

ประเภทงาน:

งานประจำ

• Deliver cutting-edge the services relating to the ranging system and the master data to stakeholders, to ensure accurate product data flow across upstream and downstream systems, troubleshooting as needed.
• Plan and execute all ranging planning and operations related template, systems and data tasks.
• Product Data ManagementLead and drive consistent support the teams relating to master data management and maintenance by using the excel format and in the system.
• Provide support to relevant IT applications, in particular, ranging tools such as M3, Hub-Light, SAP etc.
• Provide the clear guideline on key tasks for Countries teams to fill in the master data properly.
• Provide timely and accurate analysis and reporting to the SEA and Countries key stakeholders.
• Support and maintain specified SAP product master data fields (e.g; segmentation, RRP, RID).
• Conduct regular reports to ensure data accuracy and guide corrections.
• Monitor and evaluate implementation of master data, ensuring consistency of data quality.
• Provide support to relevant IT applications, in particular, ranging tools such as M3, Hub-Light, SAP.
• MARKETING SYSTEMS EXPERTISE.
• Serve as ranging and master data systems administrator and system expert. (e.g; Hublight, M3).
• Support ranging systems master data projects (e.g; M3 rollout, CLICK rollout).
• Lead the new ranging system (M3) and sell-in tool (CLICK) rollout in SEA.
• Drive system and process optimization for ranging and master data management.
• Global: Global BPO, Global CTC, and Global IT.
• Markets: SEA CTC, SEA DNA, SEA SCM, SEA DP.
• Countries/Clusters: EM MOPS, EM CTC.
• KNOWLEDGE, SKILLS AND ABILITIES.
• High degree of commercial knowledge and business acumen.
• Operational experience in Customer Service, Sales Coordination, and IT.
• Passionate about data and system.
• Strong understanding of GTM processes and KPIs.
• Strong interpersonal skills (e.g. communication, negotiation).
• Mental flexibility, initiative and determination.
• Advanced Microsoft Office skills.
• Fluent in English both verbally and written.
• REQUISITE EDUCATION AND EXPERIENCE / MINIMUM QUALIFICATIONS.
• Bachelor s degree with focus on Marketing / Sales / IT / Demand planning / Purchasing.
• Business: 5+ year experience in international SGI and/or FMCG company, experience with master data management and SAP system administrator.
• Functional: 3+ year experience in marketing or sales analytics.
• Cross-functional experience ideally in Marketing / Sales / Finance / Operations / SCM.
• AT ADIDAS WE HAVE A WINNING CULTURE. BUT TO WIN, PHYSICAL POWER IS NOT ENOUGH. JUST LIKE ATHLETES OUR EMPLOYEES NEED MENTAL STRENGTH IN THEIR GAME. WE FOSTER THE ATHLETE S MINDSET THROUGH A SET OF BEHAVIORS THAT WE WANT TO ENABLE AND DEVELOP IN OUR PEOPLE AND THAT ARE AT THE CORE OF OUR UNIQUE COMPANY CULTURE: THIS IS HOW WE WIN WHILE PLAYING FAIR.
• COURAGE: Speak up when you see an opportunity; step up when you see a need.
• OWNERSHIP: Pick up the ball. Be proactive, take responsibility and follow-through.
• INNOVATION: Elevate to win. Be curious, test and learn new and better ways of doing things.
• TEAMPLAY: Win together. Work collaboratively and cultivate a shared mindset.
• INTEGRITY: Play by the rules. Hold yourself and others accountable to our company s standards.
• RESPECT: Value all players. Display empathy, be inclusive and show dignity to all.
• AT ADIDAS, WE STRONGLY BELIEVE THAT EMBEDDING DIVERSITY, EQUITY, AND INCLUSION (DEI) INTO OUR CULTURE AND TALENT PROCESSES GIVES OUR EMPLOYEES A SENSE OF BELONGING AND OUR BRAND A REAL COMPETITIVE ADVANTAGE.
• CULTURE STARTS WITH PEOPLE, IT STARTS WITH YOU -
• BY RECRUITING TALENT AND DEVELOPING OUR PEOPLE TO REFLECT THE RICH DIVERSITY OF OUR CONSUMERS AND COMMUNITIES, WE FOSTER A CULTURE OF INCLUSION THAT ENGAGES OUR EMPLOYEES AND AUTHENTICALLY CONNECTS OUR BRAND WITH OUR CONSUMERS.
• JOB TITLE: Assistant Manager, Marketing Operation (Product Data Management) -SEA BRAND: LOCATION: Bangkok TEAM: Brand Management & Communications STATE: COUNTRY/REGION: TH CONTRACT TYPE: Full time NUMBER: 544675 DATE: May 13, 2026

ทักษะ:

VMware, Compliance, Cloud Computing

ประเภทงาน:

งานประจำ

• Comprehensive knowledge of DATA centre infrastructure components, networking technologies, and virtualization (such as VMware, Hyper-V, and KVM).
• A good understanding of DATA centre security principles, compliance standards, and best practices.
• Proficiency in designing and implementing network architectures, including LAN, WAN, and virtual networking technologies.
• Expertise in server and storage technologies such as virtualization, blade servers, SAN, NAS, and DATA backup and recovery systems.
• Familiarity with cloud computing platforms and services, including IaaS, PaaS, and SaaS.
• Extensive experience in a professional technical role within a large-scale, preferably multinational, technology services environment.
• Good client engagement skills coupled with strong technical consulting aptitude.
• The ability to collaborate and communicate effectively with team members and stakeholders.
• A bachelor's degree in information technology, computer science, or information systems.
• Workplace type: On-site Working
• About NTT DATA
• NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in RD to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
• Equal Opportunity Employer
• NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
• Third parties fraudulently posing as NTT DATA recruiters
• NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an nttdata.com email address. If you suspect any fraudulent activity, please contact us.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Data Warehousing, Compliance, Kafka

ประเภทงาน:

งานประจำ

• Define and advise on the design of modern, future-ready data architectures that align with business goals and support AI, analytics, and automation.
• Guide organizations in adopting cloud-native and hybrid data solutions (AWS, Azure, GCP, Snowflake, Databricks).
• Provide thought leadership on best practices for data modeling, data warehousing, and lakehouse architectures to ensure scalability and performance.
• Shape long-term data strategies that foster flexibility, innovation, and interoperability across platforms.
• Data Governance & Advisory.
• Lead the development of governance frameworks and policies that ensure data security, compliance, and ethical AI use.
• Provide guidance on the creation and maintenance of data dictionaries, metadata management, and data cataloging, ensuring consistency, accuracy, and alignment with industry best practices.
• Advise on data quality management strategies, ensuring robust data lineage, accuracy, and reliability across the organization.
• Define governance roadmaps that support AI adoption while maintaining compliance with GDPR, CCPA, HIPAA, and other regulations.
• Cloud & Emerging Technologies.
• Provide strategic recommendations on leveraging data lakes, data meshes, and serverless architectures to optimize data processing and storage.
• Advise on implementing real-time streaming solutions (Kafka, Kinesis, Pub/Sub) to support AI-driven analytics.
• Assess and recommend AI/ML-enabled data architectures that facilitate scalable feature engineering and model training pipelines.
• Guide organizations in evaluating and adopting graph databases, NoSQL solutions, and modern data integration tools.
• Collaboration & Leadership.
• Act as a trusted advisor to C-level executives and business leaders, translating complex data challenges into strategic initiatives.
• Collaborate with data scientists, engineers, and business analysts to enhance data accessibility and usability.
• Drive innovation in data architecture, ensuring organizations remain competitive and AI-ready.
• Lead assessments of emerging data technologies and best practices to future-proof organizational data strategies.
• What You'll Bring.
• Required Skills & Qualifications.
• Education: Bachelor s or Master s in Computer Science, Data Science, Information Systems, or a related field.
• Experience: 10-16 years in data architecture, data engineering, or cloud-based data solutions.
• Flexibility to travel within SEA/Asia Pacific region.
• Deep knowledge of cloud data platforms (AWS Redshift, Azure Synapse, Google BigQuery, Snowflake).
• Expertise in data governance, master data management (MDM), and compliance frameworks.
• Strong understanding of AI-ready data architectures and their impact on feature engineering and ML workflows.
• Ability to guide organizations on ETL/ELT strategy, data integration, and workflow automation.
• Familiarity with industry-standard data architecture frameworks (TOGAF, Zachman).
• Experience advising on real-time data streaming (Kafka, Kinesis, Pub/Sub).
• Preferred Qualifications.
• Certifications in cloud data platforms (AWS Certified Data Analytics, Azure Data Engineer, GCP Professional Data Engineer).
• Experience advising on Data Mesh and Data Fabric architectures.
• Knowledge of Graph databases and NoSQL solutions (MongoDB, Neo4j, Cassandra).
• Background in data ethics, responsible AI, and AI governance frameworks.
• More experienced candidates may be considered for appointment at the Principal/Director level.
• Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.

ทักษะ:

Contracts, Python, SQL

ประเภทงาน:

งานประจำ

• Design computational data models, reusable schemas, and structured data frameworks that improve interoperability, consistency, and machine usability across the R&D data ecosystem.
• Define reusable entity structures, metadata patterns, relationships, and data contracts that support integration across experimentation systems, analytics environments, and digital products.
• Translate scientific and business complexity into scalable model logic and reusable ...
• Context- and Knowledge-Driven Data Modelling.
• Develop context-rich data models that connect scientific data, metadata, documents, protocols, business rules, and domain concepts into reusable knowledge assets.
• Create information structures that preserve scientific meaning and operational context to improve consistency across functions and over time.
• Improve discoverability and reuse by formalizing relationships, definitions, and contextual attributes across fragmented systems and data sources.
• Ontology, Knowledge Graph, and RAG Foundations.
• Apply ontology principles to define consistent concepts, hierarchies, relationships, and machine-readable rules across priority R&D data domains.
• Support the development of R&D knowledge graph foundations by modeling relationships between experiments, protocols, observations, methods, assets, and decisions.
• Enable Retrieval-Augmented Generation (RAG) and other knowledge-driven AI approaches by improving retrieval structures, contextual linkages, and connections between structured and unstructured information.
• AI-Ready Data Platform Enablement.
• Contribute to AI-ready data platforms by defining reusable knowledge layers, integration patterns, and data-readiness standards.
• Partner with platform owners, Bioinformatics leads and technical stakeholders to scalable AI integration, and reliable information retrieval.
• Collaboration with Data Scientists and Bioinformatics Leads.
• Collaborate with Data Scientists and Bioinformatics lead to ensure analytical, digital, and AI solutions are built on reusable and scalable data foundations.
• Contribute to shared architecture discussions, design reviews, and foundational modelling decisions aligned with business and platform needs.
• Documentation, Standards, and Change Enablement.
• Document modelling standards, ontologies, schemas, and reusable reference patterns to support consistent adoption across teams.
• Provide technical guidance on computational data models, ontology structures and AI-ready data design approaches.
• Governance, Safety, and Professional Standards.
• Ensure data models and knowledge structures align with governance, security, lineage awareness, traceability, and responsible AI enablement standards.
• Balance architectural rigor, usability, innovation, usability, and practical business value to support scalable implementation.
• Qualifications Advanced degree (MSc or PhD) or equivalent applied experience in data science, computational modeling, data engineering, knowledge engineering, computer science, bioinformatics, or a closely related field.
• Demonstrated hands on experience designing reusable computational data models, including entities, schemas, relationships, metadata structures, and model driven data consumption patterns.
• Strong expertise in semantic modeling, ontology principles, and knowledge representation, with the ability to translate complex domain concepts into machine readable structures.
• Proven experience with knowledge graphs, information retrieval, or retrieval augmented generation (RAG)-enabling architectures, including context layering and source grounding.
• Solid programming and data engineering capability (e.g., Python/R, SQL), with experience working on modern data platforms and analytics ecosystems.
• Ability to translate scientific, business, and operational rules into robust, reusable model logic that supports analytics, digital workflows, and AI enabled applications.
• Experience designing for interoperability and reuse across platforms and products, avoiding one off or locally optimized solutions.
• Strong communication and collaboration skills, with experience working in matrix environments and explaining complex modeling or architecture concepts in practical business terms.
• Additional InformationSyngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.
• LI-Onsite.

ทักษะ:

SQL, ETL, Project Management, English

ประเภทงาน:

งานประจำ

• Consolidate requirements from various business functions and create common business data models within data warehouse for each business function to serve business needs.
• Working with Data Governance, Data Management, and Data Engineering team to setup data warehouse model and working with business users to develop data marts.
• Assessing the effectiveness and accuracy of data sources and data gathering techniques.
• Applying strong expertise in business intelligence skills set to develop customized and innovative solutions.
• Developing best practice for analytic and business intelligence solutions.
• Working with the IT function and project leaders in providing technical guidance regarding data architecture, data models and data management and translate business needs into requirements for analytics and business intelligence solutions.
• Always stay on latest data and BI technologies.
• Designs and develops BI relevant solutions, data model, data mart, data warehouse, report, and dashboard.
• Professional Knowledge & Experiences.
• A bachelor s degree in computer science, engineering or IT related field.
• Proficient knowledge of SQL and Relational Database, knowledge on google cloud is a plus.
• Experience in any ETL, data mart, data warehouse, data modeling design.
• Experience in any BI visualize tools, PowerBI or TIBCO Spotfire is a plus.
• Experience working with Product Owners or Business users to understand business needs, define scope and translating requirements into technical specifications.
• Strong problem-solving skills.
• A drive to learn.
• A good command of the English language.
• Preferably experience and skills in project management.
• Preferably a knowledge of or a background in the oil & gas industry.
• Additional Desirable Qualification.
• CORE Competencies.

ประสบการณ์:

2 ปีขึ้นไป

ประเภทงาน:

งานประจำ

• Develop and maintain Power BI dashboards and reports
• Analyze and interpret large datasets to generate actionable insights
• Write and optimize SQL queries for reporting and analysis
• Perform data validation, cleansing, and quality checks
• Collaborate with stakeholders to gather reporting requirements
• Create data visualizations and KPI tracking reports
• Support business teams with ad-hoc analysis and reporting needs
• Contribute to improving reporting processes and data governance
• Work closely with data engineers and business teams on analytics initiatives
• ABOUT YOU
• 2-5 years of experience as a Data Analyst or related role
• Strong hands-on experience with Power BI
• Good knowledge of SQL and relational databases
• Experience in data visualization and dashboard creation
• Understanding of data modeling and reporting concepts
• Familiarity with Excel and analytics tools
• Experience with cloud platforms (Azure, AWS, or GCP) is a plus
• Strong analytical and problem-solving mindset
• Good communication skills in English
• What we offer
• Opportunity to work on impactful data and analytics projects
• Exposure to international and cross-functional teams
• Continuous learning and career development opportunities
• A collaborative and dynamic working environment
• At Amaris Consulting, we are committed to fostering an inclusive environment where diversity is valued and respected. We promote equal opportunities and believe that diverse perspectives strengthen our teams and our ability to deliver excellence.
• Who are we?
• Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade - this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We're focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.
• Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!
• Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
• Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
• As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
• We look forward to meeting you!

ทักษะ:

Compliance, Statistics, Research

ประเภทงาน:

งานประจำ

• Develop standards, practices, and requirement for digital signature, content and data management as well as ensure consistent compliance of all implementations.
• Develop existing and future requirement for use of digital signature, content and data management system to meet data need to serve company strategy and external trends.
• Develop a strategic and tactical plan in alignment with current and future business requirement on data management.
• Identify the key data required to run the projects as well as define key issues and recommendations to solve the problems.
• Facilitate data council to provide guidelines and recommendation on business requirements, practice, and compliance.
• Communicate standards and practices regarding data management to relevant stakeholders, and monitor all implementation to ensure efficiency.
• Define, manage, and update overall data catalog as well as collate data definition, sources, and owners for key data required for the business.
• Provide information to business users as required.
• Professional Knowledge & Experiences.
• Bachelor s Degree in computer science, statistics, or operations research or related technical discipline.
• 10 years or more experience in Data Governance.
• Experience in working with digital signature, content and data management related to data architecture, integration, classification, strategy, quality management, security and privacy standards.
• Understand industry processes and uses of data throughout the lifecycle in the functions/data domains.
• Knowledge of industry and ability to translate business needs into data.
• Additional Desirable Qualification.
• CORE Competencies.

ประเภทงาน:

งานประจำ

• Partner with sales teams to capture customer requirements and architect comprehensive technical solutions for complex, integrated projects.
• Develop and deliver in-depth product presentations and demonstrations to clients, showcasing our solutions' capabilities.
• Create detailed technical proposal documents while optimizing equipment selection and engineering estimations.
• Provide expert technical guidance to ensure competitive and compliant bid submissions.
• Support customers with specialized product knowledge and technical expertise throughout the sales cycle.
• Demonstrated expertise in technical solution development and pre-sales consulting.
• Strong background in delivering product demonstrations and technical presentations.
• Deep understanding of engineering principles and equipment interfaces.
• Excellent analytical and problem-solving capabilities.
• Outstanding communication skills to effectively collaborate with sales teams and clients.
• Opportunity to work on challenging, complex technical projects.
• Platform to showcase your expertise and influence technical solutions.
• Continuous learning and growth in specialized product domains.
• Collaborative environment with cross-functional teams.
• Independence to drive technical solutions while making meaningful impact.
• Let us learn about you! Apply today.
• Looking to make an IMPACT with your career?.
• When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - starts with us.
• IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.
• We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.
• Become an IMPACT Maker with Schneider Electric - apply today!.
• 40 billion global revenue
• 9% organic growth
• 150 000+ employees in 100+ countries.
• You must submit an online application to be considered for any position with us. This position will be posted until filled.
• Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and inclusion is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here
• Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Accounting, Negotiation

ประเภทงาน:

งานประจำ

• Act as internal consultant to support strategy development and lead execution of key strategic projects.
• Take ownership of new partnership development, identify, develop and execute plan to align with company strategy.
• Work with head of department to plan and allocate partnership budget across channels.
• Develops and maintains productive working relationships with team members.
• Tracking business performance and create monthly summary report.
• Bachelor s degree in finance, Accounting, Business, IT, Engineer or any related field.
• At least 4 years experience in Business development, Strategic Planning, Financial Planning or related field.
• Experience in consultancy companies Big4 is a plus.
• Customer orientation, self-driven, strong negotiation skills and excellent interpersonal.
• Creative problem solver.
• High proficiency with Microsoft Excel, PowerPoint, understanding of financial.
• report is a plus.
• Location: True Digital Park, Punnawithi.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Power BI, Python, SQL, English

ประเภทงาน:

งานประจำ

• Build propensity model to select leads at partner s site.
• Track portfolio performance and work with marketing team to find innovative ways to improve portfolio performance.
• Document processes, code, and model decisions for transparency and reproducibility.
• Build and maintain reports / dashboards (Power BI and Power Pivot).
• Bachelor s or Master s degree in computer science, Engineering, or related field.
• 1-3 years of hands-on experience in data analyst / data science.
• Strong proficiency in Python and SQL for data manipulation and propensity model development.
• Proficiency in Power BI.
• Excellent problem-solving and communication skills.
• Good command in English.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

ETL, Compliance, Automation

ประเภทงาน:

งานประจำ

• Design, build, and maintain scalable and secure data pipelines on cloud platforms (AWS/GCP/Azure). - Architect and implement data lake, data warehouse, and data mart solutions for enterprise workloads.
• Develop and optimize ETL/ELT pipelines using modern tools and cloud-native services.
• Work closely with Data Analysts, Data Scientists, and Business teams to support analytical and ML use cases.
• Ensure high data quality, governance, security, and compliance across all data systems.
• Implement best practices in data modeling, data partitioning, orchestration, and workflows.
• Lead performance tuning, cost optimization, and reliability improvements for cloud data pipelines.
• Build CI/CD pipelines and infrastructure as code (IaC) for data platform automation.
• Evaluate and introduce new technologies and frameworks to enhance the data ecosystem.
• Mentor junior engineers and lead technical discussions within the data team.
• Requirements:Bachelor's or master's in computer science, Engineering, Data Science, or related fields.
• 5 years of experience in Data Engineering or related fields.
• AWS: Redshift, Glue, S3, EMR, Kinesis, Lambda GCP: BigQuery, Dataflow, Pub/Sub, Dataproc, GCS.
• Azure: Synapse, ADLS, Data Factory, Databricks.
• Proficient in Python, SQL, and at least one distributed processing framework (Spark, Beam, Databricks).
• Strong experience with ETL/ELT pipelines and data workflow orchestration tools (Airflow, Cloud Composer, Dagster, Prefect).
• Experience with IaC (Terraform, CloudFormation, CDK).
• Excellent understanding of data modeling (OLTP, OLAP, star schema, snowflake schema).
• Familiarity with DevOps and CI/CD for data engineering.
• Strong problem solving skills and ability to work in a fast paced environment.
• About NTT DATA
• NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in RD.
• Equal Opportunity Employer
• NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
• Third parties fraudulently posing as NTT DATA recruiters
• NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an nttdata.com email address. If you suspect any fraudulent activity, please contact us.

ประสบการณ์:

3 ปีขึ้นไป

ประเภทงาน:

งานประจำ

• Support and maintain monthly ETL processes for actuarial data workflows.
• Provide technical support for Actuarial and Reinsurance teams.
• Develop, modify, and maintain stored procedures, SQL scripts, and SSIS packages.
• Investigate and resolve data quality and consistency issues.
• Perform technical troubleshooting and root cause analysis for data-related problems.
• Assist in developing and maintaining data pipelines and integration workflows.
• Prepare and maintain technical documentation for data processes and systems.
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
• Contribute to process improvements and knowledge sharing within the team.
• ABOUT YOU
• 0-3 years of experience in Data Engineering, Data Analytics, or a related field.
• Hands-on experience with SSMS, SSIS, Databricks, and Azure Cloud Services.
• Proficiency in T-SQL / SQL, with experience in Spark and Python.
• Strong understanding of Microsoft SQL Server (MSSQL) and Azure Blob Storage.
• Growth mindset with a proactive and solution-oriented attitude.
• Ability to work independently and collaboratively in a team environment.
• Strong communication skills in English and Thai, both written and spoken.
• Nice to have
• Knowledge of the insurance industry, particularly Actuarial or Reinsurance domains.
• Familiarity with WTW Unify or IBM DB2 (AS400) environments.
• WHY AMARIS?
• Global Diversity: Be part of an international team of 110+ nationalities, celebrating diverse perspectives and collaboration.
• Trust and Growth: With 70% of our leaders starting at entry-level, we're committed to nurturing talent and empowering you to reach new heights.
• Continuous Learning: Unlock your full potential with our internal Academy and over 250 training modules designed for your professional growth.
• Vibrant Culture: Enjoy a workplace where energy, fun, and camaraderie come together through regular afterworks, team-building events, and more.
• Meaningful Impact: Join us in making a difference through our CSR initiatives, including the WeCare Together program, and be part of something bigger.
• Equal opportunity
• Amaris Consulting is proud to be an equal opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability or other characteristics.
• Who are we?
• Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade - this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We're focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.
• Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!
• Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
• Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
• As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
• We look forward to meeting you!